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Image processing and acquisition using Python /

"Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing--one of the first books to integrate these topics together. By improving readers' knowledge of image acquisition techniques and corresponding image process...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Chityala, Ravishankar (Autor), Pudipeddi, Sridevi (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, [2014]
Colección:Chapman & Hall/CRC mathematical and computational imaging sciences.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Introduction to Images and Computing using Python; Introduction to Python; Introduction; What Is Python?; Python Environments; Running a Python Program; Basic Python Statements and Data Types Computing using Python Modules; Introduction; Python Modules; Numpy; Scipy; Matplotlib; Python Imaging Library; Scikits; Python OpenCV Module Image and Its Properties; Introduction; Image and Its Properties; Image Types; Data Structures for Image Analysis; Programming Paradigm Image Processing using Python; Spatial Filters; Introduction; Filtering; Edge Detection using Derivatives Image Enhancement; Introduction; Pixel Transformation; Image Inverse; Power Law Transformation; Log Transformation; Histogram Equalization; Contrast Stretching Fourier Transform.
  • ; Introduction; Definition of Fourier Transform; Two-Dimensional Fourier Transform; Convolution; Filtering in Frequency Domain Segmentation; Introduction; Histogram-Based Segmentation; Region-Based Segmentation; Segmentation Algorithm for Various Modalities Morphological Operations; Introduction; History; Dilation; Erosion; Grayscale Dilation and Erosion; Opening and Closing; Hit-or-Miss; Thickening and Thinning Image Measurements; Introduction; Labeling; Hough Transform; Template Matching Image Acquisition; X-Ray and Computed Tomography ; Introduction; History; X-Ray Generation; Material Properties; X-Ray Detection; X-Ray Imaging Modes; Computed Tomography (CT); Hounsfield Unit (HU); Artifacts Magnetic Resonance Imaging; Introduction; Laws Governing NMR and MRI; Material.
  • Properties; NMR Signal Detection; MRI Signal Detection or MRI Imaging; MRI Construction; T1, T2, and Proton Density Image; MRI Modes or Pulse Sequence; MRI Artifacts Light Microscopes; Introduction; Physical Principles; Construction of a Wide-Field Microscope; Epi-Illumination; Fluorescence Microscope; Confocal Microscopes; Nipkow Disk Microscopes; Confocal or Wide-Field? Electron Microscopes; Introduction; Physical Principles; Construction of EM; Specimen Preparations; Construction of TEM; Construction of SEM; Appendix A: Installing Python Distributions; Appendix B: Parallel Programming Using MPI4Py; Appendix C: Introduction to ImageJ; Appendix D: MATLAB and Numpy Functions Index A Summary and Exercises appear at the end of each chapter.